appointment negotiation s dhv’s hallmark
sege-engsh_sege 26.02.2014 16: 33 Sete 1
The Universität der Bundeswehr München (Bundeswehr University Munich) is significantly expanding its Cyber Defence Research Center (CODE). CODE
was established in 2013 with the objective to bring together experts from different faculties and scientific disciplines as well as expertise from industry
and government agencies to conduct research in the cyber and information space. CODE pursues a comprehensive, integrated, and interdisciplinary
approach to implement technical innovations and concepts for the protection of data, software, and ICT infrastructures in accordance with legal and
commercial framework conditions. It has already established important strategic partnerships in this area. The objective of the expansion is to unite
the Bundeswehr‘s and the Federal Government‘s research initiatives in the area of Cyber Defence and Smart Data and to establish the CODE Research
Center as the primary point of contact in the cyber and information domain of the Bundeswehr and the Federal Government.
Research and teaching in the area of cyber security is already being carried out as part of the bachelor‘s and master‘s programs in the Computer Science
Department. According to current planning, a new international master‘s program in Cyber Security will be launched on January 1st, 2018.
The Universität der Bundeswehr München will therefore be appointing four professors for its Computer Science Department on April 1st, 2018.
The Universität der Bundeswehr München is looking for personalities with outstanding scientific qualifications to fill these professorial positions,
who will also contribute actively to the CODE research center. Besides excellent research work, the new professors are expected to develop demanding
lectures, practicals, and seminars for the new master‘s program in Cyber Security and to provide excellent teaching in their respective specialist area.
Applicants are also expected to carry out teaching in the bachelor‘s programs in computer science and business informatics, and to work closely with
the other departments at the Universität der Bundeswehr München.
The professorships will be provided with excellently equipped laboratories housed in a new building that is to be completed in the near future.
The candidates must have an excellent scientific track record, as demonstrated by a habilitation or equivalent scientific achievements, as well as
significant excellent publications in academic journals. Proven teaching experience in their respective specialist area is highly desired. The new
professors should have an international perspective, e.g., based on participation in international research projects, and experience in acquiring
third-party funding. The duties will also include active participation in the university‘s academic self-administration.
The Computer Science Department at the Universität der Bundeswehr München is seeking professors for the following specialist areas of its Cyber
Defence und Smart Data Research Center:
The reconstruction and investigation of offenses involving fixed or mobile electronic devices and complex software systems requires methodologies
for verifying or falsifying hypotheses. The challenge of analyzing security incidents as well as using seized IT components as court-type evidence is
increased by the requirement to systematically and accurately extract and document tiny digital traces from steadily increasing amounts of data.
As IT forensics experts often cannot know about the details they should be looking for at the beginning of a case, specifying legally compliant
digital-forensics methods and supporting them with tools while ensuring the chain of custody is essential.
We are looking for an excellent, internationally oriented personality that is particularly well-known in the field of digital forensics, e.g., storage
media analysis and multimedia forensics. Given the increasing amounts of data that needs to be analyzed, also research experience regarding novel
approaches for scalable and automated forensics methods is required.
Big Data denotes huge amounts of data that cannot be analyzed or processed using conventional methodologies. By applying intelligent processing
steps and semantics-based technologies, big data (raw data) can be transformed into valuable information, which is the foundation for developing
innovative applications and business models as well as optimizing existing business models.
We are looking for an excellent, internationally oriented personality that is particularly well-known in the field of big data analytics, predictive analytics,
data quality, and data security. Experience in the application of big data analytics to the cyber-security domain is highly desired.
Machine learning as a segment of artificial intelligence strives for the development of methodologies and algorithms to implement adaptive technical
systems. Machine learning algorithms are the basis for the future development of smart systems, which adapt to new situations and thus can
generate knowledge from their own experiences.
We are looking for an excellent, internationally oriented personality that is particularly well-known in the field of machine learning for pattern
recognition, prognostic maintenance and decision making, deep learning, and data-based adaptive, self-learning and self-optimizing systems.
Experience in the application of machine learning to the cyber-security domain is highly desired.
Errors made during programming, while adapting a system to its operating environment, or negligence when using IT systems lead to vulnerabilities
that allow attackers to gain unauthorized access to data or take complete control over a system. In addition to company networks, networks for
the control of industrial plants (SCADA), highly secure networks, but also complex military and defence systems, are still severely endangered by
sophisticated and high-quality attacks (Advanced Persistent Threats, APT). For example, manipulations on the hardware level can lead to vulnerabilities
that are hard to identify. The systematic analysis of vulnerabilities in IT systems and test procedures (for example, penetration tests) for their identification
and evaluation is the basis for increasing the security level of networked applications. It is important to develop novel holistic approaches for the
identification of IT vulnerabilities. Furthermore, novel protection concepts for identified vulnerabilities are to be developed, taking into account
hardware limitations, real-time constraints or requirements regarding certifications in the field of industrial control systems and critical infrastructures.
We are looking for an excellent, internationally oriented personality that is particularly well-known in the field of IT vulnerability management and
penetration testing in research and teaching. In addition, experience in the hardening of COTS (Commercial off the Shelf) products is expected.
The Universität der Bundeswehr München offers academic programs directed primarily at officer candidates and officers, who can obtain bachelor‘s
and master‘s degrees within a trimester system. Depending on spare capacity, civilian students are allowed to enroll. The study programs are
complemented by interdisciplinary elements in an integrated program entitled “studium plus”.
Preconditions of employment and the legal duty positioning of professors are based upon the “Bundesbeamtengesetz”. Employment as a “Beamte/r”
requires that the candidate be no older than 50 at the date of appointment.
The University seeks to increase the number of female professors and thus explicitly invites women to submit applications. Severely disabled candidates
with equal qualifications will receive preferential consideration.
Please submit your application documents marked as Confidential Personnel Matter to the Department Head of the Computer Science Department at
the Universität der Bundeswehr München, DE-85577 Neubiberg, by July 24th, 2017.
University Professorship (W3) in Digital Forensic
University Professorship (W3) in Data Science
University Professorship (W3) in Machine Learning
University Professorship (W3) in IT System Hardening